IDEAS home Printed from https://ideas.repec.org/a/bla/jecsur/v39y2025i5p2254-2271.html

Robots vs. Workers: Evidence From a Meta‐Analysis

Author

Listed:
  • Dario Guarascio
  • Alessandro Piccirillo
  • Jelena Reljic

Abstract

This study conducts a meta‐analysis to assess the effects of robotization on employment and wages, synthesizing the evidence from 33 studies (644 estimates) on employment and a subset of 19 studies (195 estimates) on wages. The results challenge the alarmist narrative about the risk of widespread technological unemployment, suggesting that the overall relationship between robotization and employment or wages is minimal. However, the effects are far from uniform, with adverse outcomes observed in specific contexts, such as the United States, manufacturing sectors, and middle‐skilled occupations. The analysis also identifies a publication bias favoring negative wage effects, though correcting for this bias confirms the negligible impact of robotization.

Suggested Citation

  • Dario Guarascio & Alessandro Piccirillo & Jelena Reljic, 2025. "Robots vs. Workers: Evidence From a Meta‐Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 39(5), pages 2254-2271, December.
    • Handle: RePEc:bla:jecsur:v:39:y:2025:i:5:p:2254-2271
    DOI: 10.1111/joes.12699
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/joes.12699
    Download Restriction: no
    File URL: https://libkey.io/10.1111/joes.12699?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jurkat, Anne & Klump, Rainer & Schneider, Florian, 2025. "Robots and wages: A meta-analysis," Structural Change and Economic Dynamics, Elsevier, vol. 75(C), pages 541-567.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jecsur:v:39:y:2025:i:5:p:2254-2271. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0950-0804 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.